Salary for Mid-level / Intermediate Research Assistant during 2024

Salary details

The average mid-level / intermediate Research Assistant salary lies between USD 55,902 and USD 85,000 globally. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Nov. 24, 2024

Top 20 Job Tags for Mid-level / Intermediate Research Assistant roles

The three most common job tag items assiciated with mid-level / intermediate Research Assistant job listings are Research, Python and Machine Learning. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

Research | 37 jobs Python | 27 jobs Machine Learning | 20 jobs Computer Science | 18 jobs R | 14 jobs Engineering | 14 jobs Data analysis | 14 jobs PhD | 13 jobs Statistics | 13 jobs Athena | 12 jobs Mathematics | 11 jobs Security | 8 jobs Biology | 8 jobs Testing | 7 jobs Data management | 7 jobs Physics | 7 jobs Matlab | 6 jobs Industrial | 6 jobs PyTorch | 5 jobs Linux | 5 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Research Assistant roles

The three most common job benefits and perks assiciated with mid-level / intermediate Research Assistant job listings are Career development, Health care and Conferences. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:

Career development | 20 jobs Health care | 16 jobs Conferences | 13 jobs Flex hours | 11 jobs Equity / stock options | 6 jobs Competitive pay | 6 jobs Team events | 6 jobs Medical leave | 4 jobs Parental leave | 2 jobs Flex vacation | 2 jobs Gear | 2 jobs Startup environment | 2 jobs Insurance | 2 jobs Wellness | 1 jobs

Salary Composition

The salary for a Mid-level/Intermediate Research Assistant in AI/ML/Data Science typically comprises a base salary, bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually forms the bulk of the total compensation package. Bonuses can vary significantly depending on the company's performance, individual performance, and industry standards. In tech hubs like Silicon Valley, bonuses and stock options might be more prevalent, whereas in academia or smaller companies, the base salary might be more dominant. Larger companies often offer more comprehensive benefits packages, including health insurance, retirement plans, and sometimes educational reimbursements, which can add significant value to the overall compensation.

Steps to Increase Salary

To increase your salary from this position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in the latest AI/ML technologies and tools. Specializing in high-demand areas like deep learning, natural language processing, or computer vision can make you more valuable.
• Advanced Education: Pursuing a master's or Ph.D. in a relevant field can open up higher-paying opportunities.
• Networking: Engage with professional networks and communities to learn about new opportunities and trends.
• Performance Excellence: Consistently exceed performance expectations and take on leadership roles in projects to demonstrate your value to the organization.
• Industry Transition: Consider moving to industries that pay higher salaries for AI/ML roles, such as finance or healthcare.

Educational Requirements

Most mid-level research assistant positions in AI/ML/Data Science require at least a bachelor's degree in a related field such as computer science, data science, mathematics, or statistics. However, a master's degree is often preferred and can be a significant advantage. Some roles may also require specific coursework or experience in machine learning, data analysis, and programming languages like Python or R.

Helpful Certificates

While not always mandatory, certain certifications can enhance your profile and demonstrate your expertise:

• Certified Data Scientist (CDS)
• TensorFlow Developer Certificate
• AWS Certified Machine Learning – Specialty
• Microsoft Certified: Azure AI Engineer Associate
• Google Professional Machine Learning Engineer

These certifications can validate your skills and knowledge, making you a more competitive candidate.

Required Experience

Typically, a mid-level research assistant role requires 2-5 years of experience in a related field. This experience should include hands-on work with data analysis, machine learning models, and relevant programming languages. Experience in research projects, either in academia or industry, is highly valued, as it demonstrates your ability to apply theoretical knowledge to practical problems.

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